Comparison of interestingness measures for web usage mining: An empirical study 作者: Huang XJ (Huang, Xiangji) 来源出版物: INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING    卷: 6    期: 1    页: 15-41    出版年: MAR 2007    被引频次: 3      参考文献: 42      引证关系图      摘要: A common problem in mining association rules or sequential patterns is that a large number of rules or patterns can be generated from a database, making it impossible for a human analyst to digest the results. Solutions to the problem include, among others, using interestingness measures to identify interesting rules or patterns and pruning rules that are considered redundant. Various interestingness measures have been proposed, but little work has been reported on the effectiveness of the measures on real-world applications. We present an application of Web usage mining to a large collection of Livelink log data. Livelink is a web-based product of Open Text Corporation, which provides automatic management and retrieval of different types of information objects over an intranet, an extranet or the Internet. We report our experience in preprocessing raw log data, mining association rules and sequential patterns from the log data, and identifying interesting rules and patterns by use of interestingness measures and some pruning methods. In particular, we evaluate a number of interestingness measures in terms of their effectiveness in finding interesting association rules and sequential patterns. Our results show that some measures are much more effective than others. 文献类型: Article 语言: English 作者关键词: web log mining; interestingness measures; association rule mining; sequential pattern mining KeyWords Plus: ASSOCIATION RULES; ALGORITHM; PATTERNS; SYSTEMS 通讯作者地址: Huang, XJ (通讯作者), York Univ, Sch Informat Technol, 3048 TEL Bldg,4700 Keele St, Toronto, ON M3J 1P3 Canada 地址: [url=]1. York Univ, Sch Informat Technol, Toronto, ON M3J 1P3 Canada[/url] 电子邮件地址: jhuang@yorku.ca 出版商: WORLD SCIENTIFIC PUBL CO PTE LTD, 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE IDS 号: 230FG ISSN: 0219-6220

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